ExploraML 🧙‍♀️

ExploraML is a web platform designed to introduce basic machine learning concepts, allowing users to interact with a churn prediction dataset and run different supervised learning techniques such as Logistic Regression, Stochastic Gradient Descent, Random Forest, Decision tree and compare their performance.

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Explore models

Features selection - linear models

Scores - linear models

Features selection - tree-based models

Scores - tree-based models

Technologies used

• Python
• Flask
• SQLite
• Plotly
• Pandas

Installation and Usage

To install and run the application in your local environment, follow these steps:

Clone the repository:

git clone https://github.com/qagustina/explora_ml

Install the necessary dependencies using pip and the requirements.txt file:

pip install -r requirements.txt

Create a config.py file in the root directory of the project and define your own password:

# config.py

SECRET_KEY = 'your_key'

Initialize the database. Run the initialization script using the following command:

python __init__db.py

Run the app

python app.py

License

Licensed under the GNU General Public License, Version 3.0